Intelligent high-voltage generator set modularization networking control system for communication

Abstract

The invention discloses a modular networking control system of a high-voltage generator set for intelligent communication in the technical field of generator sets, and the system comprises a modular design unit which divides the control system into a plurality of functional modules including a data collection module, a data processing module, a control execution module, a communication interface module and a user interaction module, each module is designed as an independent unit and can be flexibly combined and expanded. The flexibility and the expandability of the system are improved, and rapid adjustment and upgrading can be conveniently carried out according to actual needs; the intelligent level of the system is enhanced, and more accurate and efficient control can be realized; through a unified communication protocol, interoperability between devices and system integration are improved; the optimal configuration and remote management capability of resources are realized by utilizing the cloud platform; the security of the system is enhanced, and the risks of data leakage and network attack are effectively prevented.

Description

Technical Field

[0001] The invention relates to the technical field of generator sets, and in particular to a modular networking control system for intelligent high-voltage generator sets for communication. Background Art

[0002] The size of the generator set shrinks and the temperature rises rapidly, reaching the ignition point of the diesel. The diesel is ignited, the mixed gas burns violently, and the volume expands rapidly, pushing the piston downward, which is called "work". Each cylinder works in a certain order, and the thrust acting on the piston is transformed into a force that drives the crankshaft to rotate through the connecting rod, thereby driving the crankshaft to rotate. Using the principle of "electromagnetic induction", the generator will output an induced electromotive force, and current can be generated through a closed load circuit. Here we only describe the most basic working principle of the generator set. In order to obtain usable and stable power output, a series of diesel engine and generator control, protection devices and circuits are also required.

[0003] With the growth of electricity demand and the complexity of power grid structure, higher requirements are placed on the control and management of high-voltage generator sets. Existing control systems mostly adopt decentralized or centralized control modes, which have problems such as slow response speed, low system integration, and limited fault diagnosis and recovery capabilities when dealing with large-scale and complex networks. In addition, the existing system has a variety of communication protocols, resulting in poor interoperability between different devices, making it difficult to achieve efficient data sharing and resource optimization configuration. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent modular networking control system for high-voltage generator sets for communication to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a modular networking control system for intelligent communication high-voltage generator sets, which can be mounted on an intelligent computer with a processor and includes:

[0006] Modular design unit: The control system is divided into multiple functional modules, including data acquisition module, data processing module, control execution module, communication interface module and user interaction module. Each module is designed as an independent unit and can be flexibly combined and expanded;

[0007] Intelligent control algorithm unit: Introduces artificial intelligence-based control algorithms, including fuzzy logic, neural networks, and genetic algorithms, to achieve optimized control and fault self-healing of high-voltage generator sets;

[0008] Unified communication protocol unit: including unified communication protocol to ensure efficient data exchange and command transmission between all modules and devices in the system;

[0009] Cloud platform support unit: realize remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system through the cloud computing platform;

[0010] Security mechanism unit: Integrates advanced encryption technology and firewalls to ensure system data security and resist network attacks.

[0011] As a further solution of the present invention: the modular design unit further includes the following submodules:

[0012] Data acquisition module: The module is responsible for real-time acquisition of the operating data of the high-voltage generator set, including key parameters such as voltage, current, frequency, and temperature;

[0013] Data processing module: This module receives digital signals from the data acquisition module and analyzes and processes these data through high-performance processors and advanced algorithms;

[0014] Control execution module: Based on the analysis results of the data processing module, the control execution module is responsible for issuing control instructions to adjust the operating status of the high-voltage generator set;

[0015] Communication interface module: In order to achieve efficient communication between different modules and between modules and external devices, the present invention designs a unified communication interface module;

[0016] User Interaction Module: The user interaction module provides a human-machine interface that enables operators to intuitively monitor the system status and perform necessary intervention operations;

[0017] Power supply and protection module: responsible for the power supply of the entire control system and electrical protection of the system;

[0018] Security and encryption module: Considering the security of the power system, the present invention also specially designs a security and encryption module;

[0019] Cloud platform support module: Through the support of cloud computing platform, remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system are realized.

[0020] As a further solution of the present invention: the intelligent control algorithm unit also includes the following submodules:

[0021] Optimization control based on genetic algorithm: gradually approaching the global optimal solution through iterative search process;

[0022] Adaptive control based on neural network: It is an algorithm model that imitates the structure and function of the human brain and has powerful self-learning and adaptive capabilities;

[0023] Fuzzy control based on fuzzy logic: A control method based on fuzzy set theory, particularly suitable for dealing with uncertainty and nonlinear problems;

[0024] Fault prediction and diagnosis based on deep learning: a machine learning method that can automatically extract high-level features of data;

[0025] Autonomous learning control based on reinforcement learning: a method that allows machines to autonomously learn optimal strategies through interaction with the environment.

[0026] As a further solution of the present invention: the unified communication protocol unit further includes the following submodules:

[0027] Network communication middleware based on TCP / IP protocol: reliable connection based on TCP, custom message format and calling process, and multi-level middleware design;

[0028] Unified approach to multi-channel communication protocols: flexible message channel selection, extended attribute generator, and adaptability to multiple business scenarios;

[0029] Application layer communication protocol optimization: high data transmission efficiency, content scalability and wide applicability;

[0030] Unified communications technology integration: integration of multiple information types, people-oriented application-level convergence, and cross-device and cross-network communication capabilities;

[0031] Communication protocol compatibility method: improve equipment compatibility, flexible addition, deletion and modification, and unified protocol standards.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] Improves the flexibility and scalability of the system, making it easier to quickly adjust and upgrade according to actual needs;

[0034] Enhanced the intelligence level of the system, enabling more precise and efficient control;

[0035] Improve interoperability and system integration between devices through unified communication protocols;

[0036] The cloud platform is used to achieve optimal resource allocation and remote management capabilities;

[0037] The security of the system has been strengthened, effectively preventing the risks of data leakage and cyber attacks. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a system schematic diagram of a modular networking control system of an intelligent high-voltage generator set for communication according to the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0041] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0042] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected or set, or detachably connected or set, or integrally connected or set. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0043] See also Figure 1 In an embodiment of the present invention, a modular networking control system for intelligent communication high-voltage generator sets can be mounted on an intelligent computer with a processor and includes:

[0044] Modular design unit: The control system is divided into multiple functional modules, including data acquisition module, data processing module, control execution module, communication interface module and user interaction module. Each module is designed as an independent unit and can be flexibly combined and expanded;

[0045] Intelligent control algorithm unit: Introduces artificial intelligence-based control algorithms, including fuzzy logic, neural networks, and genetic algorithms, to achieve optimized control and fault self-healing of high-voltage generator sets;

[0046] Unified communication protocol unit: including unified communication protocol to ensure efficient data exchange and command transmission between all modules and devices in the system;

[0047] Cloud platform support unit: realize remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system through the cloud computing platform;

[0048] Security mechanism unit: Integrates advanced encryption technology and firewalls to ensure system data security and resist network attacks.

[0049] The modular networking control system of the intelligent communication high-voltage generator set of the present invention adopts a modular design to decompose the complex power system into several independent functional modules. This design method not only improves the flexibility and scalability of the system, but also enhances the convenience of maintenance and management. The details are as follows:

[0050] Data acquisition module: This module is responsible for real-time acquisition of the operating data of the high-voltage generator set, including key parameters such as voltage, current, frequency, temperature, etc. It uses high-speed data acquisition cards and various sensors to accurately measure these data, and converts analog signals into digital signals through analog / digital conversion for subsequent processing.

[0051] Data processing module: This module receives digital signals from the data acquisition module and analyzes and processes these data through high-performance processors and advanced algorithms. For example, it can use artificial intelligence algorithms (such as neural networks or genetic algorithms) to optimize control strategies and improve the operating efficiency and stability of the generator set.

[0052] Control execution module: Based on the analysis results of the data processing module, the control execution module is responsible for issuing control instructions to adjust the operating status of the high-voltage generator set. This module is connected to the interface device of the generator to achieve precise control of parameters such as motor speed and transmission power, thereby ensuring stable power supply to the power grid.

[0053] Communication interface module: In order to achieve efficient communication between different modules and between modules and external devices, the present invention designs a unified communication interface module. The module adopts standardized communication protocols, such as Modbus or CAN bus protocols, to achieve rapid data transmission and accurate execution of instructions.

[0054] User Interaction Module: The user interaction module provides a human-machine interface that enables operators to intuitively monitor system status and perform necessary intervention operations. This module is usually equipped with a high-definition touch screen or industrial-grade computer to display real-time data, alarm information, and provide convenient operation buttons and menus.

[0055] Power supply and protection module: This module is responsible for the power supply of the entire control system and provides electrical protection for the system. It ensures the continuous operation of the system in the event of a power outage through an uninterruptible power supply (UPS), and prevents overload and short circuit failures through protection components such as circuit breakers and relays.

[0056] Security and encryption module: Considering the security of the power system, the present invention also specially designs a security and encryption module. This module uses advanced encryption technology and firewalls to ensure the data security of the system and effectively resist network attacks.

[0057] Cloud platform support module: With the support of cloud computing platform, the present invention realizes remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system. The cloud platform module can upload the collected data to the cloud server, optimize the control strategy through big data analysis technology, and allow users to access the system status through the network.

[0058] In summary, the present invention constructs an efficient, flexible and safe intelligent communication high-voltage generator set networking control system through these modular design units. The modular design makes the system more scalable and versatile, which is convenient for later upgrades and maintenance, and also greatly improves the overall performance and reliability of the power system.

[0059] The intelligent control algorithm unit is the core part of the modular networking control system of the intelligent communication high-voltage generator set of the present invention. It uses advanced artificial intelligence technology to achieve efficient and accurate control of the high-voltage generator set through real-time analysis and processing of collected data. This unit mainly includes the following aspects:

[0060] Optimization control based on genetic algorithm: Genetic algorithm is an optimization method that simulates the principles of natural selection and genetics. It gradually approaches the global optimal solution through an iterative search process. In the present invention, the genetic algorithm is used to optimize the parameters of the PID (proportional-integral-differential) controller. These parameters include the proportional coefficient, integral time and differential coefficient, which have a significant impact on the stability and response speed of the system. Through the optimization of the genetic algorithm, these parameters can be automatically adjusted so that the control system can adapt to various operating conditions and improve the accuracy and stability of the control.

[0061] Adaptive control based on neural network: Neural network is an algorithm model that imitates the structure and function of the human brain and has powerful self-learning and adaptive capabilities. In the present invention, the neural network is used to establish a nonlinear model of the high-voltage generator set and predict its dynamic characteristics in real time. Specifically, the neural network can learn the input-output relationship of the system under different working conditions through training with a large amount of historical data, so as to accurately predict the state of the system at a future moment. This adaptive control method not only improves the response speed of the system, but also enhances the ability to handle complex working conditions.

[0062] Fuzzy control based on fuzzy logic: Fuzzy logic control is a control method based on fuzzy set theory, which is particularly suitable for dealing with uncertainty and nonlinear problems. In the present invention, the fuzzy controller is used to achieve real-time speed regulation and power regulation of high-voltage generator sets. Specifically, the fuzzy controller maps input variables (such as speed error and power error) to output variables (such as control instructions) through three steps: fuzzification, reasoning, and defuzzification. This method does not require an accurate mathematical model, but relies on expert experience and fuzzy rules for control, and has strong robustness and adaptability.

[0063] Fault prediction and diagnosis based on deep learning: Deep learning is a powerful machine learning method that has emerged in recent years and can automatically extract high-level features of data. In the present invention, a deep learning model is used to analyze the operating data of high-voltage generator sets to achieve early fault prediction and diagnosis. Specifically, by training deep neural networks (such as convolutional neural networks or recurrent neural networks), potential fault modes can be automatically identified from massive data and corresponding early warning information can be given. This can not only improve the reliability of the equipment, but also provide valuable reference information for maintenance personnel and reduce downtime.

[0064] Autonomous learning control based on reinforcement learning: Reinforcement learning is a method that allows machines to autonomously learn optimal strategies through interaction with the environment. In the present invention, reinforcement learning algorithms are used to explore and learn the best control strategies. Specifically, by defining appropriate state spaces, action spaces, and reward functions, the reinforcement learning model can gradually optimize its control strategy in a continuous trial and error process. This method does not rely on an accurate system model, but is continuously improved through actual interaction, and has strong adaptability and flexibility.

[0065] In summary, the intelligent control algorithm unit achieves efficient, accurate and adaptive control of high-voltage generator sets through the integration and application of multiple advanced algorithms. These algorithms not only improve the response speed and stability of the system, but also enhance the ability to handle complex working conditions and fault conditions. With the further development of technology, these intelligent control algorithms are expected to be widely used in more industrial fields, promoting the continuous improvement of automation and intelligence levels.

[0066] The unified communication protocol unit is a key part of the modular networking control system of the intelligent communication high-voltage generator set of the present invention, which is responsible for realizing efficient and stable data exchange and instruction transmission between modules in the system and with external devices. The details are as follows:

[0067] Network communication middleware based on TCP / IP protocol

[0068] Reliable connection based on TCP: This protocol uses TCP (Transmission Control Protocol) as the underlying network protocol to ensure the reliability and stability of data transmission.

[0069] Customized message format and calling process: Through the ACL (Abstract Communication Layer) client, the calling process is converted into a customized message format for character sending and receiving tools, thereby simplifying network operations and allowing developers to focus on specific business.

[0070] Multi-level middleware design: The middleware includes modules such as memory management, thread lock, message queue, thread management, network management and timer. These modules together provide efficient management and control functions for communication.

[0071] A unified approach to multi-channel communication protocols

[0072] Flexible message channel selection: This method allows the client to select the channel of the corresponding message and its corresponding platform or account entity, thereby supporting compatibility with multiple communication methods and platforms.

[0073] Extended attribute generator: Obtain different extended attribute generators through different message channel attributes, and add extended attributes to the message extension module to enhance the flexibility and scalability of the protocol.

[0074] Adaptable to multiple business scenarios: This method is applicable to various business scenarios, facilitates architecture layering and module decoupling, improves development efficiency and reduces technical burden.

[0075] Application layer communication protocol optimization

[0076] High data transmission efficiency: After product verification, the communication protocol has excellent data transmission efficiency while maintaining good robustness.

[0077] Content expandability: Based on this communication protocol, the content of the protocol can be expanded according to actual needs, making it versatile and stable.

[0078] Wide applicability: The protocol is suitable for communication between various OS devices, hides complex network operations, provides easy-to-use development and debugging components, and greatly improves development efficiency.

[0079] Unified communications technology integration

[0080] Integration of multiple information types: Unified communications technology integrates all information types such as voice, e-mail, mobile short messages, multimedia and data, improving users' freedom of choice and communication efficiency.

[0081] People-oriented application-level integration: Different from the interconnection at the traditional network level, unified communications realizes the integration and coordination of different communication methods at the application level, providing a higher-level communication solution.

[0082] Communication capabilities across devices and networks: People can freely communicate data, images and sounds through any device, any network, at any time and place, greatly improving the level of collaboration and productivity.

[0083] Communication protocol compatibility method

[0084] Improve equipment compatibility: This method solves the integration problem of equipment from multiple manufacturers in the intelligent system, improves equipment compatibility, and reduces construction and maintenance costs.

[0085] Flexible addition, subtraction and modification: When adding new smart devices, you only need to add protocol package files to the platform software system without making large-scale hardware changes, making the system extremely flexible and maintainable.

[0086] Unified protocol standard: By receiving the communication protocol and device information of smart devices and combining them into a unified protocol for communication, the system device architecture is simplified and the overall system integration and operation efficiency are improved.

[0087] In summary, the unified communication protocol unit achieves efficient data transmission, good compatibility and strong integration capabilities by adopting a variety of advanced methods and technical support. These technologies and methods not only enhance the interoperability and flexibility of the system, but also greatly improve the performance and reliability of the entire intelligent control system. With the further development and innovation of technology, the unified communication protocol will be widely used in more fields, promoting the continuous improvement of automation and intelligence levels.

[0088] The cloud platform support unit is an important component of the modular networking control system of the intelligent communication high-voltage generator set of the present invention. It provides the system with powerful data storage, processing and remote monitoring capabilities through cloud computing technology. The details are as follows:

[0089] Independent service deployment based on cloud atomic units

[0090] Independently running service unit: Cloud Atomic Unit is a service unit that can run independently and is generated by Cloud Atomic Unit VM template. This design ensures that each service unit can run independently in a private cloud environment, improving the reliability and stability of the service.

[0091] Complete operating environment encapsulation: The cloud atomic unit VM template encapsulates the complete operating environment including the virtual machine operating system, middleware container, GIS server system and related system configuration, accompanying service system and cloud service operation and maintenance system, etc. This greatly simplifies the deployment process and improves the portability and scalability of the service.

[0092] Multi-level cloud service operation and maintenance management

[0093] Comprehensive operation and maintenance management system: The cloud service operation and maintenance system includes user management, service management and proxy, service display and operation and maintenance support modules. These modules together provide comprehensive operation and maintenance management functions for the cloud platform to ensure stable operation of the system.

[0094] Real-time monitoring and data analysis: The operation and maintenance support module collects data during system operation to monitor and analyze the operating status of the entire system in real time, including service access monitoring, server status monitoring, and user operation log management. This helps to discover and solve potential problems in a timely manner and improve system reliability.

[0095] Flexible cloud resource directory management

[0096] Unified resource management platform: The cloud resource directory center relies on the underlying cloud computing platform to integrate and centrally manage various information resources. This design simplifies the resource management process and improves resource utilization efficiency.

[0097] Fine-grained resource operations: The resource management layer provides four types of operations: resource registration, planning, delivery, and operation and maintenance, ensuring the accuracy and controllability of resource management. The resource access interface layer provides a unified service access interface, further simplifying resource operations.

[0098] Efficient and stable delivery and deployment of cloud atomic units

[0099] Automated resource registration and planning: During the delivery and deployment of cloud atomic units, resource registration and planning are first performed to register the metadata information and required resource information of cloud atomic units to the resource directory center. Then, relevant resources are specified and instantiated according to requirements to ensure the reasonable allocation and use of resources.

[0100] Fast and efficient cloud atomic unit delivery: Generate corresponding service VM instances based on planning information to complete the delivery of cloud atomic units. This process is highly automated, greatly shortening deployment time and improving service launch efficiency.

[0101] Cross-platform microservice framework adaptation

[0102] Multi-microservice framework adaptation: The present invention provides a multi-microservice distributed framework construction system and method adapted to multi-cloud platforms. The system has strong versatility and allows enterprises to flexibly respond to different cloud platforms by adopting more appropriate microservice frameworks as needed.

[0103] Business code is non-invasive: The microservice framework registration engine of the present invention does not increase the complexity of development and system, and only one set of business code is needed to adapt to multiple microservice frameworks. This ensures that business developers can focus on the development of business logic without having to worry about the differences in the underlying framework.

[0104] The security mechanism unit is a key part of the modular networking control system of the intelligent communication high-voltage generator set of the present invention, which is responsible for ensuring the data security of the system and resisting network attacks. The details are as follows:

[0105] Reactive fail-safe mechanism based on rail transit signal control system:

[0106] The mechanism ensures that each unit can maintain or enter a safe state in the event of a fault by dividing the system into multiple sub-units, including input unit, logic operation unit, communication unit, output synthesis unit, output drive unit and safety monitor.

[0107] A two-way real-time communication channel is set up between the logic operation unit and the safety monitor to realize the mutual verification function based on the chain logic to ensure that both parties work normally.

[0108] The safety monitor monitors the working status of the input unit, communication unit, output synthesis unit and output drive unit in real time, and provides timely feedback and takes measures when an abnormality is detected to ensure system safety.

[0109] Advanced encryption technology and access control:

[0110] The system uses advanced encryption algorithms (such as AES-256) to encrypt data to ensure that the data is not illegally accessed or tampered with during transmission and storage.

[0111] Implement strict access control policies to ensure that only authenticated and authorized users can access sensitive data and control systems, preventing unauthorized operations and internal threats.

[0112] Real-time intrusion detection and prevention system:

[0113] Integrate real-time intrusion detection system (IDS) and intrusion prevention system (IPS) to detect and block potential attack behaviors by analyzing network traffic and system logs.

[0114] When an attack is detected, the system automatically takes defensive measures, such as blocking malicious IP addresses, shutting down unnecessary ports and services, and immediately notifying administrators.

[0115] Multi-level firewall and network isolation:

[0116] Deploy multiple levels of firewalls, including network boundary firewalls, subnet firewalls, and host firewalls, to implement multi-level network protection, effectively isolate different network areas, and prevent the spread of attacks.

[0117] Through network segmentation and VLAN technology, key system components are placed in independent network segments, limiting external access and internal cross-segment access to ensure the security of key assets.

[0118] Comprehensive security monitoring and auditing:

[0119] Implement comprehensive security monitoring, including system performance monitoring, user behavior monitoring, and abnormal behavior analysis, to ensure timely detection and response to security incidents.

[0120] Conduct security audits regularly to evaluate the system's security configuration, patch updates, and user permission settings to ensure that the system meets the latest security standards and compliance requirements.

[0121] In summary, the present invention can absorb the following advantages and improvements of the intelligent high-voltage generator set:

[0122] Improve system response speed and stability:

[0123] Optimization control based on genetic algorithm: realize automatic adjustment of PID controller parameters, so that the control system can adapt to various working conditions and improve the accuracy and stability of control.

[0124] Adaptive control based on neural network: By establishing a nonlinear model of the high-voltage generator set and predicting its dynamic characteristics in real time, the system's response speed and ability to handle complex working conditions can be improved.

[0125] Enhance system flexibility and scalability:

[0126] Modular design: The control system is divided into multiple independent functional modules, which can be quickly adjusted and upgraded according to actual needs.

[0127] Cloud platform support: Remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system are achieved through the cloud computing platform, which enhances the flexibility and scalability of the service.

[0128] Improve system interoperability and integration:

[0129] Unified communication protocol: Develop a unified communication protocol to ensure efficient data exchange and command transmission between all modules and devices in the system.

[0130] Unified method for multi-channel communication protocols: allows the client to select the channel of the corresponding message and its corresponding platform or account entity, and supports compatibility with multiple communication methods and platforms.

[0131] Enhance the system's data security and network defense capabilities:

[0132] Advanced encryption technology and access control: Use advanced encryption algorithms to encrypt data and implement strict access control policies to prevent unauthorized access and internal threats.

[0133] Real-time intrusion detection and prevention system: Integrates real-time intrusion detection system and intrusion prevention system to detect and block potential attack behaviors by analyzing network traffic and system logs.

[0134] Simplify system operation and maintenance:

[0135] User Interaction Module: Provides an intuitive human-machine interface, allowing operators to easily monitor system status and perform necessary intervention operations.

[0136] Cloud resource directory management: Through the cloud resource directory center, various information resources are integrated and centrally managed, which simplifies the resource management process and improves resource utilization efficiency.

[0137] Improve equipment reliability and reduce downtime:

[0138] Fault prediction and diagnosis based on deep learning: Analyze operating data through deep learning models to achieve early fault prediction and diagnosis, improve equipment reliability, and reduce downtime.

[0139] Reactive fail-safe mechanism: ensures that each unit can maintain or enter a safe state when a fault occurs. The two-way real-time communication channel realizes mutual verification based on chain logic, improving the overall safety of the system.

[0140] Improve the level of automation and intelligence:

[0141] Autonomous learning control based on reinforcement learning: Explore and learn the optimal control strategy through reinforcement learning algorithm to achieve highly adaptive and flexible control mode.

[0142] Cross-platform microservice framework adaptation: Provides a distributed microservice framework that adapts to multiple cloud platforms, allowing enterprises to adopt the most appropriate microservice framework according to different cloud platforms to flexibly respond to needs.

[0143] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0144] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. Intelligent communication high-voltage generator set modular networking control system, this system can be used on an intelligent computer with a processor, the characteristics are: include: Modular design unit: The control system is divided into multiple functional modules, including data acquisition module, data processing module, control execution module, communication interface module and user interaction module. Each module is designed as an independent unit and can be flexibly combined and expanded; Intelligent control algorithm unit: Introduces artificial intelligence-based control algorithms, including fuzzy logic, neural networks, and genetic algorithms, to achieve optimized control and fault self-healing of high-voltage generator sets; Unified communication protocol unit: including unified communication protocol to ensure efficient data exchange and command transmission between all modules and devices in the system; Cloud platform support unit: realize remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system through the cloud computing platform; Security mechanism unit: Integrates advanced encryption technology and firewalls to ensure system data security and resist network attacks.

2. The modular networking control system of the intelligent high-voltage generator set for communication according to claim 1 is characterized by: The modular design unit also includes the following submodules: Data acquisition module: The module is responsible for real-time acquisition of the operating data of the high-voltage generator set, including key parameters such as voltage, current, frequency, and temperature; Data processing module: This module receives digital signals from the data acquisition module and analyzes and processes these data through high-performance processors and advanced algorithms; Control execution module: Based on the analysis results of the data processing module, the control execution module is responsible for issuing control instructions to adjust the operating status of the high-voltage generator set; Communication interface module: In order to achieve efficient communication between different modules and between modules and external devices, the present invention designs a unified communication interface module; User Interaction Module: The user interaction module provides a human-machine interface that enables operators to intuitively monitor the system status and perform necessary intervention operations; Power supply and protection module: responsible for the power supply of the entire control system and electrical protection of the system; Security and encryption module: Considering the security of the power system, the present invention also specially designs a security and encryption module; Cloud platform support module: Through the support of cloud computing platform, remote storage, analysis and processing of data, as well as remote monitoring and maintenance of the system are realized.

3. The modular networking control system of intelligent high-voltage generator sets for communication according to claim 1 is characterized by: The intelligent control algorithm unit also includes the following submodules: Optimization control based on genetic algorithm: gradually approaching the global optimal solution through iterative search process; Adaptive control based on neural network: It is an algorithm model that imitates the structure and function of the human brain and has powerful self-learning and adaptive capabilities; Fuzzy control based on fuzzy logic: A control method based on fuzzy set theory, particularly suitable for dealing with uncertainty and nonlinear problems; Fault prediction and diagnosis based on deep learning: a machine learning method that can automatically extract high-level features of data; Autonomous learning control based on reinforcement learning: a method that allows machines to autonomously learn optimal strategies through interaction with the environment.

4. The modular networking control system of intelligent high-voltage generator sets for communication according to claim 1 is characterized in that: The unified communication protocol unit also includes the following submodules: Network communication middleware based on TCP / IP protocol: reliable connection based on TCP, custom message format and calling process, and multi-level middleware design; Unified approach to multi-channel communication protocols: flexible message channel selection, extended attribute generator, and adaptability to multiple business scenarios; Application layer communication protocol optimization: high data transmission efficiency, content scalability and wide applicability; Unified communications technology integration: integration of multiple information types, people-oriented application-level convergence, and cross-device and cross-network communication capabilities; Communication protocol compatibility method: improve equipment compatibility, flexible addition, deletion and modification, and unified protocol standards.

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